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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8497
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    Explanations

    the name "Gwen"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Wen."

    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
    ĺħ
    -0.75
    Ħ¢
    -0.72
     Seym
    -0.70
    aminer
    -0.66
     practicable
    -0.65
     susceptibility
    -0.65
    osate
    -0.65
     plural
    -0.64
     cultured
    -0.63
    ô
    -0.62
    POSITIVE LOGITS
    wen
    1.35
    burn
    1.03
    mere
    0.97
    borough
    0.94
     Kenobi
    0.92
    igan
    0.91
    pool
    0.86
    igans
    0.86
    boro
    0.84
    jen
    0.84
    Activations Density 0.003%

    No Known Activations