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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. 3584
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    Explanations

    concepts related to downfall, decay, or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    metaphorical references to decline, danger, or pitfalls

    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
    UTC
    -0.71
    OTOS
    -0.67
    namese
    -0.67
    DERR
    -0.62
     [+
    -0.61
    NZ
    -0.61
    TF
    -0.60
    Aud
    -0.60
    IFIED
    -0.60
    livious
    -0.59
    POSITIVE LOGITS
    holder
    0.70
    pit
    0.68
    vine
    0.68
    ometer
    0.68
    tight
    0.67
    headed
    0.67
     swinging
    0.67
    coat
    0.65
     sticking
    0.65
     dragging
    0.64
    Activations Density 0.358%

    No Known Activations