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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. 3-RES-JB
    11. 3014
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    INDEX
    Explanations

    mentions of potential impacts or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocracy
    -0.90
    ging
    -0.78
     Fighter
    -0.77
     Enforcement
    -0.73
     Bagg
    -0.66
    ged
    -0.66
     LOT
    -0.65
    hran
    -0.64
     Dragonbound
    -0.64
     Dirty
    -0.63
    POSITIVE LOGITS
     derive
    0.94
    nard
    0.87
    hap
    0.86
    berra
    0.85
     misunder
    0.83
     alternatively
    0.83
     interpret
    0.81
     conclud
    0.80
     be
    0.80
     optionally
    0.80
    Activations Density 0.066%

    No Known Activations