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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. 21830
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    INDEX
    Explanations

    mentions of potential actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or necessity

    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
     crappy
    -0.70
    )=(
    -0.67
     shitty
    -0.65
     normalized
    -0.64
    Eva
    -0.63
    washer
    -0.62
     happening
    -0.61
     Warfare
    -0.58
     Chap
    -0.58
     Colors
    -0.58
    POSITIVE LOGITS
     dearly
    0.87
    bes
    0.75
    aci
    0.73
    nel
    0.72
    adian
    0.71
     resign
    0.70
     attest
    0.67
    haps
    0.67
    hap
    0.66
     euth
    0.66
    Activations Density 0.296%

    No Known Activations