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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. 12557
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    Explanations

    names with the prefix "Kom"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kom" or similar sounding variations

    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
    âĶĢâĶĢ
    -0.71
    ãĤ§
    -0.71
    terday
    -0.66
    ãĥ¼ãĥĨ
    -0.65
    steen
    -0.63
    =#
    -0.63
    vation
    -0.61
     amplification
    -0.61
    ters
    -0.61
    FREE
    -0.60
    POSITIVE LOGITS
    odo
    0.89
    merce
    0.87
    borgh
    0.85
    ahar
    0.85
    onga
    0.85
    oral
    0.82
    puter
    0.82
    atche
    0.80
    ĸļ
    0.78
    liam
    0.75
    Activations Density 0.027%

    No Known Activations