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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. 7483
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    Explanations

    phrases expressing strong beliefs or convictions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of belief or conviction

    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
    nec
    -0.76
    apeake
    -0.75
    yna
    -0.73
    nice
    -0.69
    cue
    -0.66
    ack
    -0.66
    clud
    -0.64
    effect
    -0.64
    hoff
    -0.62
    eding
    -0.62
    POSITIVE LOGITS
     passionately
    1.01
     strongly
    0.85
    phas
    0.84
    ieves
    0.74
    ieve
    0.71
     that
    0.70
     firmly
    0.68
    lessly
    0.67
    ievers
    0.66
    fully
    0.65
    Activations Density 0.069%

    No Known Activations