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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. 8-RES-JB
    11. 4143
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    Explanations

    words related to information gathering and investigation

    oai_token-act-pair · gpt-3.5-turbo

    references to sensory experiences and physical interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.85
    bral
    -0.69
    uers
    -0.65
    luaj
    -0.60
    rers
    -0.60
    adr
    -0.58
    united
    -0.57
     negotiators
    -0.55
     Amar
    -0.55
    Loading
    -0.54
    POSITIVE LOGITS
     imaginable
    1.22
     whatsoever
    1.17
     except
    1.17
    except
    0.91
    soever
    0.85
     irrespective
    0.84
     regardless
    0.83
     thereafter
    0.78
     MUST
    0.77
     conceivable
    0.76
    Activations Density 0.659%

    No Known Activations