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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. 23050
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    INDEX
    Explanations

    phrases describing interception or intercepting actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interception or monitoring activities

    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
    chn
    -0.73
    adders
    -0.71
    Aid
    -0.67
    pet
    -0.66
    Electric
    -0.66
    bold
    -0.66
    Graph
    -0.65
    Cola
    -0.64
    bard
    -0.64
    gard
    -0.63
    POSITIVE LOGITS
     intercept
    1.04
     intercepted
    1.00
    ibles
    0.85
     interception
    0.79
    ables
    0.77
    ãĥ¼ãĥĨãĤ£
    0.76
     interceptions
    0.74
    rons
    0.72
     eaves
    0.71
     tapes
    0.70
    Activations Density 0.008%

    No Known Activations