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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. 7937
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    Explanations

    verbs related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    actions and decisions related to help and intervention

    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
    ove
    -0.61
    ann
    -0.60
    joining
    -0.60
    omach
    -0.59
    covered
    -0.59
    rafted
    -0.59
    ln
    -0.58
    ãĥ¼ãĥĨãĤ£
    -0.58
    rive
    -0.57
     GN
    -0.57
    POSITIVE LOGITS
     anymore
    0.78
    ãĢĤ
    0.75
     ¯
    0.74
    ?:
    0.69
     defensively
    0.67
     loud
    0.66
    !,
    0.66
    ,''
    0.64
     Afgh
    0.64
    ãħĭãħĭ
    0.63
    Activations Density 0.541%

    No Known Activations