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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 776
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    Explanations

    words related to the concept of intensification or increase in degree

    oai_token-act-pair · gpt-4-turbo

    words related to escalation or increase in intensity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intensification or escalation of situations or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TOP
    -0.73
    ¶æ
    -0.72
    AAAAAAAA
    -0.69
    puted
    -0.68
    AAAA
    -0.67
    ndra
    -0.66
    PLIED
    -0.66
    FT
    -0.65
    pta
    -0.65
    Tokens
    -0.65
    POSITIVE LOGITS
     intens
    0.98
     intensify
    0.87
    ifies
    0.86
     intensified
    0.84
    mble
    0.82
    issance
    0.79
     recomm
    0.78
    wcs
    0.78
    uated
    0.76
     therap
    0.76
    Activations Density 0.011%

    No Known Activations