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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. 9-RES-JB
    11. 15847
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    Explanations

    phrases containing special characters and symbols

    oai_token-act-pair · gpt-3.5-turbo

    references to cultural symbols or icons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shell
    -0.61
     action
    -0.60
     intercepted
    -0.58
     unidentified
    -0.57
     targeted
    -0.56
     cellphone
    -0.55
     kios
    -0.55
     misunder
    -0.54
     arrang
    -0.54
     Garmin
    -0.53
    POSITIVE LOGITS
    ternity
    0.94
    always
    0.81
    begin
    0.81
    Pg
    0.81
    say
    0.81
    thus
    0.79
    must
    0.78
    except
    0.78
    shall
    0.76
    surv
    0.76
    Activations Density 0.517%

    No Known Activations