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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. 8-RES-JB
    11. 4054
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    Explanations

    mentions of specific names or usernames in a news or article context

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overwhelming
    -0.74
    ADRA
    -0.70
    Tokens
    -0.67
    FACE
    -0.62
    Scotland
    -0.62
    Region
    -0.60
     queens
    -0.59
    PASS
    -0.59
    Vote
    -0.58
    FIX
    -0.57
    POSITIVE LOGITS
    oglu
    1.22
    opoulos
    1.17
    oulos
    1.16
    icz
    1.14
    tein
    1.11
     Jr
    1.11
    ski
    1.09
    akis
    1.08
    ewski
    1.08
    zyk
    1.04
    Activations Density 0.313%

    No Known Activations