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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. 7-RES-JB
    11. 2722
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    Explanations

    phrases relating to a progression or development happening over time

    oai_token-act-pair · gpt-3.5-turbo

    references to concepts related to direction or progression over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mate
    -0.83
    wu
    -0.75
    fy
    -0.73
    abilities
    -0.73
    edit
    -0.72
    mates
    -0.69
    ican
    -0.68
    lich
    -0.66
    resy
    -0.64
    men
    -0.63
    POSITIVE LOGITS
     stairs
    1.12
     halls
    1.01
     hallway
    0.96
     corridor
    0.91
     tubes
    0.91
     road
    0.89
     proverbial
    0.89
     path
    0.88
     corridors
    0.88
     slopes
    0.87
    Activations Density 0.071%

    No Known Activations