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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. 19954
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    Explanations

    phrases related to reaching a pivotal moment or decision

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "comes down," indicating a conclusion or summary

    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
    anooga
    -0.74
    olkien
    -0.72
    ature
    -0.69
    digy
    -0.69
    rouse
    -0.69
    inka
    -0.68
    #$
    -0.67
    SourceFile
    -0.66
     Huck
    -0.66
    ulton
    -0.65
    POSITIVE LOGITS
    graded
    1.02
    stairs
    1.00
     stairs
    0.91
    river
    0.87
    grading
    0.84
    grades
    0.76
    pour
    0.76
    cast
    0.76
    vote
    0.75
    hill
    0.73
    Activations Density 0.022%

    No Known Activations