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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. 2-RES-JB
    11. 18877
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    Explanations

    mentions of posters

    oai_token-act-pair · gpt-3.5-turbo

    references to posters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ESSION
    -0.74
     Jou
    -0.71
    OTT
    -0.70
    IELD
    -0.70
    %]
    -0.69
    UTE
    -0.68
    UCK
    -0.67
    REE
    -0.67
    IVE
    -0.66
    IVES
    -0.66
    POSITIVE LOGITS
     poster
    1.06
    onymous
    0.92
    iors
    0.86
    pillar
    0.85
     posters
    0.84
     flyer
    0.82
    agonist
    0.80
     Poster
    0.75
    ieu
    0.75
    onym
    0.71
    Activations Density 0.010%

    No Known Activations