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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. 20570
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    Explanations

    phrases describing movement or progress towards a specific target or goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate direction or progress toward a goal

    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
    named
    -0.70
    drivers
    -0.68
    CD
    -0.67
     briefed
    -0.67
    pots
    -0.65
     pitted
    -0.65
    mberg
    -0.65
    crew
    -0.65
    cod
    -0.64
    ulates
    -0.64
    POSITIVE LOGITS
     toward
    0.95
    WARD
    0.81
    vernment
    0.80
     towards
    0.80
     fruition
    0.76
    ward
    0.75
     infinity
    0.75
     Towards
    0.71
    ments
    0.71
     Bethlehem
    0.70
    Activations Density 0.018%

    No Known Activations