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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. 7842
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and requirements related to processes or systems

    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
     overseeing
    -0.75
    arta
    -0.69
    Lind
    -0.67
     aback
    -0.66
    soDeliveryDate
    -0.65
    landish
    -0.65
    cule
    -0.64
    ahime
    -0.64
     Dragonbound
    -0.63
    fty
    -0.63
    POSITIVE LOGITS
     guiActiveUnfocused
    0.87
     perish
    0.83
     spontaneously
    0.83
     detectable
    0.80
     vanish
    0.78
     overc
    0.78
    geries
    0.77
     disappear
    0.77
     mysteriously
    0.76
     automatically
    0.75
    Activations Density 0.559%

    No Known Activations