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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. 23112
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    Explanations

    phrases asking questions with a focus on questioning the truth or validity of statements

    oai_token-act-pair · gpt-3.5-turbo

    be verbs indicating states of being or existence

    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
     Nightmares
    -0.73
     Messenger
    -0.73
    Reviewer
    -0.66
    stood
    -0.64
    iggins
    -0.61
     Dreams
    -0.61
     Train
    -0.59
    izer
    -0.58
     Working
    -0.57
     Dragonbound
    -0.57
    POSITIVE LOGITS
    omorphic
    0.86
    nt
    0.85
    gur
    0.83
    ĸļ
    0.81
    hap
    0.81
    peria
    0.76
    ps
    0.73
    eret
    0.71
    fred
    0.70
     ya
    0.69
    Activations Density 0.204%

    No Known Activations