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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. 12767
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    Explanations

    the term "AM" followed by a number, possibly related to technology or media

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "AM" and its variations

    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
    ttes
    -0.99
    cko
    -0.72
    ãĤ¬
    -0.66
    leans
    -0.65
    hold
    -0.65
    inese
    -0.64
    essee
    -0.62
    accompanied
    -0.62
     hazard
    -0.62
    kie
    -0.61
    POSITIVE LOGITS
    NH
    1.10
    endment
    1.09
    AZ
    1.08
    OUNT
    1.01
    sterdam
    0.98
    ICAN
    0.90
    ARC
    0.89
    BI
    0.89
    RA
    0.86
    ulus
    0.84
    Activations Density 0.027%

    No Known Activations