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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. 22799
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    Explanations

    phrases related to a wide variety of subjects with a focus on frequency or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating universality or commonality across different subjects

    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
    only
    -0.81
    most
    -0.73
    alin
    -0.71
    aline
    -0.71
    usually
    -0.69
    ubi
    -0.69
    inas
    -0.68
    uay
    -0.67
    uers
    -0.66
    bots
    -0.65
    POSITIVE LOGITS
     imaginable
    0.97
    WHERE
    0.87
     conceivable
    0.76
    THING
    0.74
     else
    0.72
     extant
    0.64
     recognizable
    0.64
     worthwhile
    0.60
     online
    0.59
     interaction
    0.59
    Activations Density 0.112%

    No Known Activations