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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. 24155
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    Explanations

    mentions of a person named "Henrik" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual, likely a sports player

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    EED
    -0.76
    terday
    -0.69
     IST
    -0.64
     Confederation
    -0.63
     Tyrann
    -0.61
    URA
    -0.61
     Wireless
    -0.61
    EE
    -0.60
     Postal
    -0.59
    FACE
    -0.59
    POSITIVE LOGITS
    rique
    1.44
    riks
    1.33
    rik
    1.25
    ricks
    1.08
    ning
    1.06
    sel
    1.01
    nery
    0.99
    ric
    0.98
    riot
    0.98
    rick
    0.95
    Activations Density 0.037%

    No Known Activations