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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. 4-RES-JB
    11. 18606
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    INDEX
    Explanations

    ways to increase or reduce different quantities or aspects

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to probability and numerical assessments in various contexts

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

    No Comments

    Negative Logits
    hematic
    -0.63
    ART
    -0.62
     severed
    -0.61
    arton
    -0.60
     Griffith
    -0.58
    å¦
    -0.58
    blank
    -0.58
    hari
    -0.57
    Created
    -0.55
    interstitial
    -0.55
    POSITIVE LOGITS
     footprint
    0.82
     exponentially
    0.75
     reliance
    0.74
     morale
    0.72
     tempo
    0.69
     unnecessarily
    0.67
     habits
    0.66
     effectiveness
    0.65
     intensity
    0.65
     dependency
    0.64
    Activations Density 0.611%

    No Known Activations