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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. 20603
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific acronym or keyword related to a particular subject or context

    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
     Coke
    -0.72
    swick
    -0.70
     Democr
    -0.70
    FUL
    -0.68
    $$$$
    -0.67
     Cavaliers
    -0.67
    gie
    -0.66
     CARE
    -0.65
     AMERICA
    -0.65
     Sheen
    -0.65
    POSITIVE LOGITS
    olitics
    1.10
    etry
    1.06
    onent
    1.02
    odcast
    0.99
    acus
    0.98
    isode
    0.96
    adia
    0.95
    acing
    0.93
    ocalypse
    0.92
    etition
    0.90
    Activations Density 0.011%

    No Known Activations