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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. 2-RES-JB
    11. 7457
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    Explanations

    words related to small pieces of interesting or valuable information

    oai_token-act-pair · gpt-3.5-turbo

    references to bits of information or details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.70
    HAEL
    -0.69
    sein
    -0.68
    akespe
    -0.67
    Rush
    -0.66
     art
    -0.60
    PRES
    -0.59
    GA
    -0.59
    Ú
    -0.59
    artney
    -0.57
    POSITIVE LOGITS
     tid
    1.17
    bits
    0.93
    \\\\\\\\
    0.92
    iest
    0.85
    istically
    0.84
    ily
    0.82
    ewater
    0.81
    iquette
    0.80
    escription
    0.80
    eteen
    0.79
    Activations Density 0.008%

    No Known Activations