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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. 9-RES-JB
    11. 17550
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    INDEX
    Explanations

    terms related to locations and information sources like kiosks, hashtags, mosaics, brochures, and newspapers

    oai_token-act-pair · gpt-3.5-turbo

    references to kiosks and related advertising or informational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vain
    -0.73
     Detective
    -0.70
     bearer
    -0.67
     corro
    -0.66
    theless
    -0.66
     Widow
    -0.65
     Centauri
    -0.65
     Panther
    -0.64
     Origin
    -0.64
     mate
    -0.64
    POSITIVE LOGITS
    ements
    1.26
    ancies
    1.25
    icks
    1.19
    acies
    1.19
    elines
    1.15
    atures
    1.12
    aces
    1.11
    ages
    1.10
    itures
    1.09
    asms
    1.09
    Activations Density 0.168%

    No Known Activations