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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. 4-RES-JB
    11. 2883
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    Explanations

    proper nouns or names of individuals, particularly those related to legal or news contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to physical or metaphorical bodies

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

    No Comments

    Negative Logits
    Availability
    -0.76
    ugal
    -0.65
    Applic
    -0.65
     gulf
    -0.65
     tides
    -0.65
    Said
    -0.65
     Inquisition
    -0.64
    resses
    -0.63
    atever
    -0.62
    racted
    -0.62
    POSITIVE LOGITS
    nian
    0.91
    nes
    0.86
    ody
    0.85
    nia
    0.85
    NetMessage
    0.84
    meal
    0.84
    bilt
    0.82
    tes
    0.80
    tsky
    0.78
     Emin
    0.75
    Activations Density 0.012%

    No Known Activations