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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. 3-RES-JB
    11. 16060
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    Explanations

    capitalized words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "AST" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.92
    pheus
    -0.89
    cci
    -0.80
    respond
    -0.76
    ologne
    -0.70
     Hanson
    -0.68
    yip
    -0.68
    pend
    -0.67
    plets
    -0.66
    chy
    -0.66
    POSITIVE LOGITS
    AST
    1.00
    ~~~~
    0.84
    ILE
    0.84
    OME
    0.81
    âĶĢâĶĢâĶĢâĶĢ
    0.79
    rophe
    0.79
    IK
    0.75
    oyer
    0.75
    eful
    0.74
    ORS
    0.74
    Activations Density 0.009%

    No Known Activations