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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. 2-RES-JB
    11. 6005
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    Explanations

    references to specific locations or objects

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to notable locations, motifs, and categories that indicate themes or subjects in media and storytelling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UNCH
    -0.95
    ITH
    -0.71
    ctor
    -0.69
    ELF
    -0.67
    âĸijâĸij
    -0.64
    agine
    -0.63
    IPP
    -0.62
    chnology
    -0.61
    ASE
    -0.60
    astern
    -0.60
    POSITIVE LOGITS
    s
    2.35
    sburg
    1.34
    sburgh
    1.28
    sie
    1.28
    sis
    1.22
    sand
    1.21
    sets
    1.20
    sch
    1.15
    scl
    1.12
    ski
    1.12
    Activations Density 0.142%

    No Known Activations