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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. 7-RES-JB
    11. 3518
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    Explanations

    names or terms related to specific companies or technologies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Siemens and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aval
    -0.66
    ruck
    -0.66
    LESS
    -0.65
     Newport
    -0.65
     Islanders
    -0.65
     Prol
    -0.65
    Todd
    -0.65
     darkest
    -0.64
     Regional
    -0.64
    OWS
    -0.64
    POSITIVE LOGITS
    esh
    1.04
    ials
    0.89
    egal
    0.82
    pace
    0.82
    itism
    0.81
    paces
    0.81
     recip
    0.80
    kish
    0.80
    aved
    0.79
    sembly
    0.79
    Activations Density 0.079%

    No Known Activations