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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. 21854
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    Explanations

    phrases related to movement towards a specific target or goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate direction or movement

    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
    STER
    -0.66
    =]
    -0.65
    TED
    -0.62
    ANGE
    -0.62
    %"
    -0.60
    EMENT
    -0.60
    CLASSIFIED
    -0.57
    GROUND
    -0.56
    HAEL
    -0.54
    killed
    -0.54
    POSITIVE LOGITS
    humane
    1.08
    animate
    1.04
    wards
    1.03
     vain
    1.00
    vert
    0.97
    ordinate
    0.97
     unison
    0.95
    between
    0.95
    bound
    0.93
     accordance
    0.92
    Activations Density 0.175%

    No Known Activations