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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. 2938
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    Explanations

    phrases enclosed in square brackets

    oai_token-act-pair · gpt-3.5-turbo

    instances of quotation marks

    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
     reckoning
    -0.71
     halfway
    -0.69
     Valhalla
    -0.69
     partial
    -0.68
     playbook
    -0.67
     probable
    -0.66
     brim
    -0.65
     possibility
    -0.65
     glory
    -0.65
     overflow
    -0.65
    POSITIVE LOGITS
    âĢ¦]
    1.92
    ...]
    1.82
    english
    1.27
    REDACTED
    1.27
    sic
    1.16
    insert
    1.08
    ?]
    1.08
    email
    1.05
    ']
    1.04
    !]
    1.03
    Activations Density 0.045%

    No Known Activations