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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. 21460
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    Explanations

    phrases related to successful or impactful actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases and idiomatic expressions related to achieving success or hitting a target

    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
    tymology
    -0.70
    iterator
    -0.69
    DragonMagazine
    -0.68
    sbm
    -0.67
    lance
    -0.66
    atus
    -0.66
    href
    -0.65
    urdue
    -0.65
    gio
    -0.64
    VC
    -0.62
    POSITIVE LOGITS
     stride
    0.97
     snag
    0.87
     nail
    0.87
     iceberg
    0.85
     hardest
    0.81
    ritic
    0.76
     itch
    0.75
     pavement
    0.75
     nerve
    0.73
     bounce
    0.73
    Activations Density 0.123%

    No Known Activations