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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. 14816
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    Explanations

    phrases related to various street scenes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "streets" and its contextual variations

    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
    emort
    -0.78
    igham
    -0.71
    itors
    -0.71
    inite
    -0.70
    itor
    -0.69
    opsis
    -0.69
    ITED
    -0.67
    riott
    -0.66
    essee
    -0.64
    reciation
    -0.63
    POSITIVE LOGITS
    cape
    1.29
    fare
    1.05
     streets
    0.94
    ways
    0.90
    walker
    0.90
    walk
    0.90
     sidewalks
    0.83
    ffiti
    0.82
    scape
    0.77
    worn
    0.76
    Activations Density 0.027%

    No Known Activations