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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. 8-RES-JB
    11. 11620
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    Explanations

    phrases indicating a recommendation or high value, often starting with the word "Must"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "must" and its variations indicating necessity or recommendation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.84
    EStreamFrame
    -0.76
    hyde
    -0.69
    iency
    -0.67
    vernment
    -0.65
    gdala
    -0.64
    tions
    -0.62
    ãĥŃ
    -0.61
    tion
    -0.61
    ulty
    -0.61
    POSITIVE LOGITS
    aches
    0.93
    ering
    0.89
    hew
    0.85
    ards
    0.85
    angs
    0.82
    ache
    0.82
    ach
    0.82
    ARD
    0.81
    ANG
    0.80
    afa
    0.80
    Activations Density 0.031%

    No Known Activations