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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. 7-RES-JB
    11. 10063
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    INDEX
    Explanations

    phrases related to actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earch
    -0.75
     guiActiveUnfocused
    -0.74
     unison
    -0.67
    cerning
    -0.67
    Eh
    -0.67
     unregulated
    -0.66
    together
    -0.61
    versive
    -0.60
    thal
    -0.60
     discrep
    -0.60
    POSITIVE LOGITS
     himself
    1.00
     personally
    0.73
     sul
    0.69
     resign
    0.68
     succeeded
    0.65
     rall
    0.65
    zos
    0.65
    ulla
    0.64
     solo
    0.64
    enaries
    0.63
    Activations Density 0.492%

    No Known Activations