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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. 9402
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    INDEX
    Explanations

    phrases indicating patterns or common occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating common situations or occurrences

    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
    abases
    -0.72
    istries
    -0.68
    estamp
    -0.67
    enez
    -0.66
    æ©
    -0.65
    bush
    -0.63
    ERSON
    -0.61
    pan
    -0.61
    ema
    -0.61
    oke
    -0.61
    POSITIVE LOGITS
     wont
    0.70
    heter
    0.65
     Hier
    0.64
    fty
    0.61
     [|
    0.59
     Tale
    0.59
    ums
    0.58
     fare
    0.58
     vari
    0.58
    isite
    0.58
    Activations Density 0.164%

    No Known Activations