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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. 9-RES-JB
    11. 17479
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    Explanations

    phrases related to various activities or actions being performed

    oai_token-act-pair · gpt-3.5-turbo

    instances of activities or actions that involve decision-making or personal choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.83
    pires
    -0.60
    ©¶æ
    -0.59
    also
    -0.58
    )))
    -0.57
    enei
    -0.55
    gemony
    -0.55
    urther
    -0.54
    Ĥª
    -0.54
    oÄŁan
    -0.54
    POSITIVE LOGITS
     whereas
    1.09
     because
    0.86
     (=
    0.84
     haha
    0.83
    .
    0.83
     instead
    0.83
     :(
    0.82
     but
    0.82
    ;
    0.81
     rather
    0.80
    Activations Density 1.377%

    No Known Activations