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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. 2-RES-JB
    11. 23810
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    Explanations

    mentions of specific names with a particular emphasis on the name "je" or "jer"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "je" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raviolet
    -0.74
     tremend
    -0.72
    ancial
    -0.72
    grounds
    -0.71
    heartedly
    -0.66
    izoph
    -0.65
     rooting
    -0.64
    rients
    -0.64
    sound
    -0.63
     Defin
    -0.63
    POSITIVE LOGITS
    je
    1.34
    orge
    0.97
    lde
    0.95
    Å¡
    0.95
    ja
    0.94
    opard
    0.93
    eker
    0.92
    ans
    0.92
    lda
    0.91
    eling
    0.91
    Activations Density 0.005%

    No Known Activations