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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. 3901
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    Explanations

    occupations or roles of individuals described in the text

    oai_token-act-pair · gpt-3.5-turbo

    occupations and roles of individuals

    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
    sers
    -0.75
    ouls
    -0.73
    acters
    -0.66
    Tokens
    -0.66
    Ire
    -0.65
    inventoryQuantity
    -0.65
     dots
    -0.65
     lengths
    -0.65
    olars
    -0.65
    Xi
    -0.65
    POSITIVE LOGITS
     extraord
    1.14
     specializing
    1.13
     whose
    1.02
     who
    0.90
    ess
    0.86
    digy
    0.81
    Joined
    0.78
     whom
    0.78
    whose
    0.78
     nicknamed
    0.77
    Activations Density 0.195%

    No Known Activations