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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. 9365
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    Explanations

    mention of technical terms or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    repeated punctuation marks or special characters used for emphasis or decoration in text

    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
    liest
    -0.74
    liness
    -0.70
    ly
    -0.68
    ciating
    -0.67
    ĻĤ
    -0.64
    OTOS
    -0.64
     Tanz
    -0.63
    elope
    -0.63
    swick
    -0.63
    agos
    -0.62
    POSITIVE LOGITS
    kw
    0.92
    Madison
    0.82
    hole
    0.79
    taboola
    0.76
    quote
    0.75
    orks
    0.74
    KER
    0.73
    ski
    0.72
    Ping
    0.72
    DOWN
    0.71
    Activations Density 0.014%

    No Known Activations