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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. 10-RES-JB
    11. 990
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    Explanations

    instances where someone or something is highlighted or exemplified as a standout representative of a particular theme or group

    oai_token-act-pair · gpt-3.5-turbo

    references to "poster" or "poster children" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    @#&
    -0.70
    displayText
    -0.68
    IVES
    -0.67
    ostics
    -0.67
    ulu
    -0.67
    arya
    -0.64
    UTERS
    -0.60
    hews
    -0.60
    %]
    -0.59
    rament
    -0.59
    POSITIVE LOGITS
    iors
    0.99
    ior
    0.94
     poster
    0.91
    boy
    0.83
     posters
    0.81
     depicting
    0.81
    ity
    0.80
    boys
    0.80
    boards
    0.79
    iod
    0.77
    Activations Density 0.033%

    No Known Activations