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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. 6-RES-JB
    11. 9577
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    Explanations

    phrases indicating recommendations or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express suggestions or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hiba
    -0.76
    ophone
    -0.72
     sclerosis
    -0.63
    itational
    -0.60
     Orchestra
    -0.60
    bridge
    -0.60
    lish
    -0.60
     glitch
    -0.60
    illusion
    -0.59
    bard
    -0.58
    POSITIVE LOGITS
    ate
    0.74
    reprene
    0.71
    ãĤ¦ãĤ¹
    0.71
    gotten
    0.68
    ter
    0.67
    WARE
    0.67
     spending
    0.66
    TEXTURE
    0.65
    lessly
    0.64
    anamo
    0.63
    Activations Density 0.041%

    No Known Activations