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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10204
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    Explanations

    chemical elements

    oai_token-act-pair · gpt-3.5-turbo

    elements or compounds mentioned in chemical and material contexts

    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
    Recomm
    -0.68
     RTX
    -0.64
     Biblical
    -0.63
     Affect
    -0.62
     Religious
    -0.61
     covari
    -0.60
     à¨
    -0.60
     Allaah
    -0.60
     overrun
    -0.59
     Sharia
    -0.59
    POSITIVE LOGITS
    hz
    0.89
    undred
    0.86
    ngth
    0.85
    034
    0.84
    pm
    0.84
    bps
    0.82
    airs
    0.82
    reens
    0.81
    racuse
    0.80
    035
    0.79
    Activations Density 0.093%

    No Known Activations