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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. 6-RES-JB
    11. 9831
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    Explanations

    words related to specific elements or features being introduced or added

    oai_token-act-pair · gpt-3.5-turbo

    negative or critical assessments related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fter
    -0.71
    Registered
    -0.65
    Scot
    -0.64
    ©¶æ
    -0.63
    )\
    -0.62
    usterity
    -0.61
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.61
     foregoing
    -0.60
    eret
    -0.59
    bernatorial
    -0.59
    POSITIVE LOGITS
    interstitial
    0.67
     tremend
    0.63
    uilt
    0.58
    endered
    0.57
     ta
    0.56
     Malf
    0.56
     AW
    0.56
    vertisement
    0.54
    ITT
    0.54
     unpredict
    0.54
    Activations Density 0.449%

    No Known Activations