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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
    11. 17190
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    Explanations

    references to the sky

    oai_token-act-pair · gpt-3.5-turbo

    references to the sky and its attributes

    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
    Ô
    -0.79
    utic
    -0.79
     Fas
    -0.72
    udes
    -0.71
    ublic
    -0.67
    idated
    -0.65
     Paste
    -0.65
     Cumm
    -0.64
     Polit
    -0.64
     Identity
    -0.63
    POSITIVE LOGITS
    watching
    1.07
    burst
    1.00
     skies
    0.98
    hawk
    0.98
    rock
    0.96
    writing
    0.96
    scape
    0.92
    walker
    0.92
    fall
    0.91
     sky
    0.89
    Activations Density 0.046%

    No Known Activations