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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. 10-RES-JB
    11. 6534
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    Explanations

    descriptions of how things appear or are visualized

    oai_token-act-pair · gpt-3.5-turbo

    expressions that describe appearances or comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cipl
    -0.78
    Americ
    -0.74
    ahon
    -0.64
    tsy
    -0.63
    agonists
    -0.62
    iencies
    -0.61
    loe
    -0.61
    Hen
    -0.59
    juries
    -0.59
    ourse
    -0.59
    POSITIVE LOGITS
    lihood
    0.95
     inside
    0.85
    liest
    0.85
     WITHOUT
    0.80
     underneath
    0.78
     beforehand
    0.76
     unto
    0.75
     outside
    0.74
     firsthand
    0.74
     before
    0.72
    Activations Density 0.034%

    No Known Activations