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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. 1-RES-JB
    11. 5104
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    Explanations

    mentions of places or names with a prominent "ahar" or "anton" in them

    oai_token-act-pair · gpt-3.5-turbo

    names of locations or entities, particularly those related to geopolitical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    es
    -0.80
     Reese
    -0.73
    ecast
    -0.66
    esse
    -0.66
     paycheck
    -0.64
     Monster
    -0.63
    Moon
    -0.62
    e
    -0.62
    chu
    -0.61
     Reflex
    -0.60
    POSITIVE LOGITS
    awar
    0.99
    ahar
    0.82
    apter
    0.77
    atan
    0.77
     Lumpur
    0.76
    ategory
    0.73
    akespe
    0.73
    acan
    0.71
    aji
    0.70
    arma
    0.69
    Activations Density 0.029%

    No Known Activations