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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. 7-RES-JB
    11. 11781
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    Explanations

    metaphorical expressions related to obstacles or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to obstacles or challenges in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leans
    -0.71
    ridges
    -0.71
    lav
    -0.70
    encia
    -0.70
    oup
    -0.70
    Saharan
    -0.68
    arella
    -0.66
    apest
    -0.66
    aught
    -0.66
    ¯
    -0.65
    POSITIVE LOGITS
     weeds
    0.76
     medi
    0.75
     McMahon
    0.68
     Collider
    0.68
     greed
    0.65
     Pf
    0.64
     yawn
    0.63
     brow
    0.63
     Gemini
    0.62
     Carney
    0.62
    Activations Density 0.847%

    No Known Activations