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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. 4-RES-JB
    6. 22870
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    ubi
    -0.71
    OY
    -0.71
    inet
    -0.71
    ONSORED
    -0.71
     stoked
    -0.67
     thri
    -0.65
     danced
    -0.65
     crept
    -0.63
     Cosponsors
    -0.63
     reperto
    -0.62
    POSITIVE LOGITS
    pping
    0.73
    shoot
    0.72
    ilings
    0.69
    rium
    0.68
     him
    0.68
    izabeth
    0.66
     noon
    0.66
    sighted
    0.66
     Virtue
    0.65
     empty
    0.65
    Activations Density 0.042%

    No Known Activations