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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. 4-RES-JB
    11. 19702
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    Explanations

    terms related to progress or development

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "progression" and its variations in context

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

    No Comments

    Negative Logits
    olicited
    -0.76
    ãĥĩãĤ£
    -0.76
    azo
    -0.67
    asel
    -0.67
     clerk
    -0.66
    ffee
    -0.65
    arling
    -0.64
    awei
    -0.63
     Kiss
    -0.61
    zsche
    -0.61
    POSITIVE LOGITS
    iferation
    1.05
     progression
    1.01
    gradation
    0.80
    ACY
    0.78
    ments
    0.77
    onential
    0.76
     Tone
    0.74
     stages
    0.72
     advancement
    0.71
    gression
    0.70
    Activations Density 0.022%

    No Known Activations