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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. 3-RES-JB
    11. 15974
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    Explanations

    proper names related to specific individuals and locations

    oai_token-act-pair · gpt-3.5-turbo

    names related to specific individuals and entities, particularly those associated with banking, anthrax, and historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Andromeda
    -0.74
    coat
    -0.69
    HAHA
    -0.69
     Nost
    -0.68
     Edison
    -0.65
    nesty
    -0.64
    GE
    -0.63
    vention
    -0.63
    stead
    -0.63
    NES
    -0.62
    POSITIVE LOGITS
    umbn
    1.01
    cffff
    0.93
    rax
    0.92
    etsk
    0.88
     Kron
    0.84
    rolet
    0.84
    umbnails
    0.81
    osal
    0.80
     tremend
    0.79
     Gork
    0.76
    Activations Density 0.028%

    No Known Activations