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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. 3-RES-JB
    11. 20351
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    Explanations

    specific numerical values associated with information or data points

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.79
    iday
    -0.76
    ential
    -0.74
    iped
    -0.73
    igating
    -0.72
    ership
    -0.71
    igators
    -0.70
    ition
    -0.70
    ary
    -0.70
    ishing
    -0.67
    POSITIVE LOGITS
    teenth
    0.90
    393
    0.88
    cffff
    0.78
    ptive
    0.78
    00
    0.77
     satell
    0.76
    68
    0.74
    UTH
    0.72
    plate
    0.72
    uth
    0.71
    Activations Density 0.064%

    No Known Activations