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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. 8890
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    Explanations

    mentions of writing instruments, especially pens

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pen" in various contexts

    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
    ndum
    -0.80
    ONEY
    -0.74
    IELD
    -0.68
    UTH
    -0.66
    enance
    -0.66
    WAYS
    -0.66
    ONSORED
    -0.65
     Lumpur
    -0.64
    IAS
    -0.63
     Everywhere
    -0.63
    POSITIVE LOGITS
    itent
    1.40
    ultimate
    1.36
    manship
    1.08
    insula
    1.07
     pen
    1.06
    elope
    1.05
    cil
    1.04
    cill
    1.03
     pens
    0.99
    ning
    0.99
    Activations Density 0.010%

    No Known Activations