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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. 8491
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    Explanations

    phrases related to abbreviations or codes, potentially including regions, organizations, or other identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to data formats or data signatures

    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
     Metatron
    -0.75
    stakes
    -0.71
    bell
    -0.67
    ographed
    -0.66
    comes
    -0.66
     bells
    -0.65
     Dragonbound
    -0.65
     Weasley
    -0.62
    frames
    -0.61
    felt
    -0.61
    POSITIVE LOGITS
    DF
    1.13
    amily
    0.96
    sg
    0.95
    WD
    0.92
    avorite
    0.91
    erm
    0.91
    DM
    0.88
    rost
    0.86
    ESH
    0.86
    endi
    0.85
    Activations Density 0.007%

    No Known Activations