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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. 6-RES-JB
    11. 317
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    Explanations

    specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    keyes
    -0.69
    rd
    -0.67
    icial
    -0.66
    agascar
    -0.65
    luaj
    -0.64
    arb
    -0.64
    ernand
    -0.63
    omez
    -0.63
    ivals
    -0.62
    olyn
    -0.62
    POSITIVE LOGITS
    holder
    1.20
    holders
    1.10
    bos
    1.02
    ername
    0.79
    ngth
    0.76
    bo
    0.75
    upon
    0.74
    liness
    0.72
     Vend
    0.70
    able
    0.69
    Activations Density 0.040%

    No Known Activations