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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. 17096
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    INDEX
    Explanations

    attributions or causes of events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or attribution

    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
    apest
    -0.84
    ŃĶ
    -0.83
    efer
    -0.82
    raf
    -0.77
    代
    -0.75
    abilia
    -0.74
    ©¶æ¥µ
    -0.74
    ura
    -0.73
    ĸļ
    -0.73
    notations
    -0.72
    POSITIVE LOGITS
     coincidence
    1.13
     intentional
    0.95
     deliberate
    0.93
     misunderstanding
    0.92
     negligence
    0.90
     factors
    0.88
     unintentional
    0.88
     inadvert
    0.86
     jealousy
    0.84
     misplaced
    0.81
    Activations Density 0.878%

    No Known Activations