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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. 7-RES-JB
    11. 3167
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    Explanations

    phrases indicating outcomes or revelations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating situations that evolve or reveal themselves over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achus
    -0.70
    cham
    -0.68
    afia
    -0.66
    eatures
    -0.66
    brow
    -0.66
    panel
    -0.66
    Previous
    -0.65
    CW
    -0.64
    antha
    -0.64
    colo
    -0.64
    POSITIVE LOGITS
     quite
    0.76
     REALLY
    0.73
     pretty
    0.70
     really
    0.70
    ozy
    0.69
     MUCH
    0.68
     surprisingly
    0.66
     reversed
    0.66
     remarkably
    0.64
     disastrous
    0.64
    Activations Density 0.100%

    No Known Activations