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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. 22415
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    Explanations

    words related to timing or pre-planning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to preordained conditions and manipulation

    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
    abet
    -0.79
    ingham
    -0.78
    esan
    -0.76
    Scot
    -0.76
    our
    -0.75
    thur
    -0.75
    alos
    -0.73
    lust
    -0.71
    uber
    -0.71
    ansky
    -0.69
    POSITIVE LOGITS
    uled
    0.95
    nesday
    0.92
     millenn
    0.79
     corrid
    0.77
    ividually
    0.74
     timed
    0.73
     unintention
    0.72
    ĸļ
    0.71
    ãĥ¼ãĤ¯
    0.71
    irect
    0.71
    Activations Density 0.069%

    No Known Activations