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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. 4-RES-JB
    11. 16038
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    Explanations

    words related to the intensification or increase of actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to intensification or escalation of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    puted
    -0.79
    pta
    -0.78
    bies
    -0.75
    lean
    -0.73
    bie
    -0.70
    ¶æ
    -0.69
    ķ
    -0.68
    topia
    -0.67
    PLIED
    -0.67
    ograms
    -0.67
    POSITIVE LOGITS
    wcs
    0.89
     intensify
    0.82
     intens
    0.78
     exacerb
    0.78
     deepen
    0.75
     deepening
    0.74
     intensified
    0.73
    ipolar
    0.72
     aggrav
    0.71
    ifies
    0.71
    Activations Density 0.027%

    No Known Activations