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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. 11910
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    Explanations

    verbs related to communication or expressing a message or idea visually

    oai_token-act-pair · gpt-3.5-turbo

    words related to communication and expression of ideas

    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
    Not in Any Lists

    No Comments

    Negative Logits
    chens
    -0.71
    ches
    -0.70
    bre
    -0.70
     Leone
    -0.67
    Lv
    -0.64
    req
    -0.63
    thritis
    -0.62
    anova
    -0.61
    strap
    -0.60
    scill
    -0.60
    POSITIVE LOGITS
     conveyed
    0.97
    iveness
    0.88
    worldly
    0.79
    ively
    0.78
    sheets
    0.76
    plain
    0.74
     volumes
    0.73
    tale
    0.72
    cha
    0.72
    ible
    0.70
    Activations Density 0.041%

    No Known Activations