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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. 13866
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    Explanations

    phrases related to construction and materials

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "The" and variations in sentence structures

    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
    à
    -0.76
     âĢº
    -0.76
    poke
    -0.75
    VICE
    -0.73
    tackle
    -0.69
    timer
    -0.68
    Ò
    -0.67
    ����
    -0.67
    .</
    -0.64
    oops
    -0.63
    POSITIVE LOGITS
     remainder
    1.16
    oret
    1.10
     foregoing
    1.05
     downside
    1.04
     resultant
    1.00
     drawback
    0.97
    nce
    0.97
    odore
    0.93
     resulting
    0.92
    resa
    0.91
    Activations Density 0.417%

    No Known Activations