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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. 11925
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    Explanations

    phrases related to predictions or assumptions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to predictions and their implications

    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
    BOX
    -0.72
    ASE
    -0.68
    Ø©
    -0.66
     twist
    -0.65
    MENT
    -0.65
     Scotia
    -0.65
    Hub
    -0.63
    ãĥĨãĤ£
    -0.62
    IRO
    -0.60
     Wit
    -0.59
    POSITIVE LOGITS
    efined
    1.33
    nis
    1.12
    icated
    1.04
    acent
    1.04
    icates
    1.01
    essor
    1.01
    awn
    0.99
    icip
    0.99
    ominated
    0.97
    isp
    0.96
    Activations Density 0.027%

    No Known Activations