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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. 12-RES-JB
    11. 4316
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hemor
    -1.04
    ò
    -0.92
    ļéĨĴ
    -0.83
     incent
    -0.83
     metic
    -0.83
    oreAnd
    -0.82
    ĸļ士
    -0.81
     eleph
    -0.81
    ñ
    -0.80
    DeliveryDate
    -0.78
    POSITIVE LOGITS
    son
    1.82
    SON
    1.47
    sson
    1.08
    s
    1.07
    sen
    1.05
    sb
    1.04
    sa
    0.96
    Son
    0.96
    sin
    0.95
    ss
    0.93
    Activations Density 0.099%

    No Known Activations