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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. 8338
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    Explanations

    phrases related to permanence or long-lasting states

    oai_token-act-pair · gpt-3.5-turbo

    terms related to permanent changes or statuses

    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
    gio
    -0.92
     Cosponsors
    -0.91
    sonian
    -0.89
    ERAL
    -0.87
     GOODMAN
    -0.81
    ean
    -0.75
    gerald
    -0.71
    icip
    -0.70
     Flavoring
    -0.70
    ivities
    -0.70
    POSITIVE LOGITS
     exting
    0.98
     wed
    0.92
     etched
    0.91
     conclud
    0.85
     permanently
    0.84
     lodged
    0.82
     destro
    0.82
     implanted
    0.80
     scar
    0.80
     psychiat
    0.79
    Activations Density 0.005%

    No Known Activations