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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. 1-RES-JB
    11. 1014
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    Explanations

    words related to making small adjustments or modifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to adjustments or modifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vo
    -0.77
    phal
    -0.73
    inators
    -0.71
     Continued
    -0.69
    inated
    -0.66
     Columb
    -0.65
    raham
    -0.64
     Rapid
    -0.64
    Vs
    -0.63
    ONT
    -0.63
    POSITIVE LOGITS
     tweak
    1.49
     tweaks
    1.29
     tweaking
    1.12
     tink
    0.96
     tweaked
    0.90
     calibr
    0.90
     adjustments
    0.90
     tailor
    0.84
    alore
    0.82
     refinement
    0.81
    Activations Density 0.006%

    No Known Activations