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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. 9-RES-JB
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    Explanations

    expressions of hope or desire within the text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or desire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vation
    -0.73
    IDER
    -0.72
    icidal
    -0.70
    ces
    -0.70
    pes
    -0.68
    atures
    -0.68
    urga
    -0.64
    idered
    -0.64
    cial
    -0.64
     Solitaire
    -0.62
    POSITIVE LOGITS
     someday
    1.09
    nob
    0.76
     you
    0.76
     nobody
    0.75
     whoever
    0.72
     somebody
    0.72
     nothing
    0.70
     everyone
    0.68
     congr
    0.66
     someone
    0.66
    Activations Density 0.036%

    No Known Activations