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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
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    Explanations

    mentions of students in various educational contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of students

    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
    rous
    -0.68
    UTERS
    -0.65
    neum
    -0.64
     Cape
    -0.63
    ality
    -0.61
     Shack
    -0.60
    âĶĢâĶĢâĶĢâĶĢ
    -0.60
    SHIP
    -0.59
    SourceFile
    -0.59
     compulsion
    -0.57
    POSITIVE LOGITS
    hip
    0.90
     enrolled
    0.80
    girls
    0.79
    uates
    0.79
    '
    0.75
    arate
    0.75
    hips
    0.75
    tu
    0.73
    pace
    0.73
    inary
    0.72
    Activations Density 0.050%

    No Known Activations