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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. 7-RES-JB
    11. 9901
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical values or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tes
    -0.70
    intend
    -0.70
     indist
    -0.66
     convict
    -0.66
     pri
    -0.62
    amorph
    -0.62
    compan
    -0.61
    alach
    -0.61
    abolic
    -0.60
     helicop
    -0.60
    POSITIVE LOGITS
     Explicit
    0.88
    ï¸ı
    0.83
     Languages
    0.81
     Requirements
    0.76
     Lastly
    0.73
     Clean
    0.71
    EDIT
    0.71
    Ability
    0.70
     CFR
    0.69
    argo
    0.69
    Activations Density 0.036%

    No Known Activations