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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. 8163
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    Explanations

    terms related to actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    specific actions or concepts related to acceptance and initiation in various contexts

    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
    bably
    -0.71
     acknow
    -0.69
     nerve
    -0.67
    dyl
    -0.66
     orally
    -0.66
     expelled
    -0.65
     withd
    -0.65
     davidjl
    -0.63
     breaching
    -0.63
     leaping
    -0.63
    POSITIVE LOGITS
    ings
    1.51
    ership
    1.40
    ers
    1.39
    ners
    1.32
    er
    1.28
    ing
    1.18
    up
    1.15
    down
    1.14
    downs
    1.12
    ups
    1.10
    Activations Density 0.175%

    No Known Activations