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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. 0-RES-JB
    11. 14675
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    Explanations

    mentions of specific names or terms, particularly those related to public figures or locations

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Democr
    -0.80
     prest
    -0.75
     Pupp
    -0.72
     wip
    -0.71
     allowances
    -0.70
    EMS
    -0.70
     monop
    -0.69
     Pax
    -0.68
    Liberal
    -0.68
     socialists
    -0.67
    POSITIVE LOGITS
    opal
    2.00
    thel
    1.77
    umar
    1.50
     outlet
    1.40
    anth
    1.39
    auri
    1.30
    hari
    1.30
    ydia
    1.22
    igor
    1.20
    anco
    1.16
    Activations Density 0.053%

    No Known Activations