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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
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    sequences of the number nine, particularly in numerical contexts

    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
    escription
    -0.80
     Lauder
    -0.79
    REDACTED
    -0.76
    enture
    -0.74
    itable
    -0.74
    channelAvailability
    -0.73
    holders
    -0.71
    iator
    -0.70
     Ukrain
    -0.70
    loo
    -0.69
    POSITIVE LOGITS
    999
    1.23
    9999
    1.22
    06
    1.19
    07
    1.13
    08
    1.10
    09
    1.08
    04
    1.08
    03
    1.07
    090
    1.05
    79
    1.03
    Activations Density 0.048%

    No Known Activations