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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. 9476
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    INDEX
    Explanations

    names of persons or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and places

    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
     ANGEL
    -0.66
     VIDE
    -0.65
     polarization
    -0.63
     destiny
    -0.62
    âĶĢâĶĢ
    -0.61
    ktop
    -0.61
     BOX
    -0.60
     compromise
    -0.60
     daytime
    -0.59
     Dia
    -0.59
    POSITIVE LOGITS
    baugh
    1.24
    hoff
    1.17
    gren
    1.15
    berger
    1.15
    quist
    1.12
    hart
    1.11
    hower
    1.09
    heimer
    1.09
    bottom
    1.08
    cott
    1.08
    Activations Density 0.335%

    No Known Activations