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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. 12998
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    Explanations

    adjectives related to intensity or depth

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotional intensity

    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
    ordan
    -0.78
    arters
    -0.75
    othy
    -0.75
    amins
    -0.74
     Millennium
    -0.71
    iful
    -0.71
    orio
    -0.71
    anwhile
    -0.70
    icans
    -0.69
     Guys
    -0.69
    POSITIVE LOGITS
     ingrained
    0.93
     embedded
    0.84
     immersed
    0.82
     engaged
    0.81
     entrenched
    0.79
     eng
    0.79
     enough
    0.78
     rooted
    0.76
     deeply
    0.76
     etched
    0.75
    Activations Density 0.008%

    No Known Activations