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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. 3-RES-JB
    11. 3121
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    Explanations

    the word "movie" with high activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raham
    -0.71
    ĵĺ
    -0.69
    odic
    -0.67
    cffff
    -0.67
    ²¾
    -0.67
    existent
    -0.66
    bleacher
    -0.66
    uckles
    -0.65
    scl
    -0.64
    İĭ
    -0.63
    POSITIVE LOGITS
     theaters
    1.10
     theater
    1.08
    goers
    1.05
     theatre
    0.99
     movies
    0.96
     movie
    0.93
     theat
    0.93
     buffs
    0.89
     Movies
    0.84
     premie
    0.84
    Activations Density 0.032%

    No Known Activations