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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. 0-RES-JB
    11. 2400
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    INDEX
    Explanations

    adjectives relating to sneakiness or trickery

    oai_token-act-pair · gpt-3.5-turbo

    words related to being evident or clear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recomb
    -0.63
     suspensions
    -0.62
     cha
    -0.62
     Centre
    -0.60
     Sgt
    -0.60
     corpor
    -0.60
     detain
    -0.59
     decl
    -0.58
     fast
    -0.58
     rein
    -0.58
    POSITIVE LOGITS
    vious
    4.19
    viously
    3.41
    vous
    1.67
    ceptive
    1.16
    noxious
    1.16
    livious
    1.12
    umerable
    0.97
    solete
    0.95
    fusc
    0.95
    fters
    0.95
    Activations Density 0.020%

    No Known Activations