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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. 0-RES-JB
    6. 11018
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    Explanations

    names of geographical locations, specifically focusing on a specific location that contains the text "gon"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific geographic location or area

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     credibility
    -0.76
     replay
    -0.69
     Marriott
    -0.67
     RF
    -0.65
     cred
    -0.65
     lift
    -0.64
     shred
    -0.63
     Establishment
    -0.62
     Ref
    -0.62
     Ans
    -0.61
    POSITIVE LOGITS
    gon
    4.72
    gor
    1.26
     gon
    1.19
    gas
    1.05
    gian
    1.03
    gam
    1.00
    nor
    0.99
    gom
    0.98
    gyn
    0.98
    morph
    0.97
    Activations Density 0.021%

    No Known Activations