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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. 9-RES-JB
    11. 5997
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    Explanations

    concepts related to technical elements or design and development processes

    oai_token-act-pair · gpt-3.5-turbo

    topics related to metrics and measurement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "},"
    -0.66
     Atk
    -0.61
     guiActiveUnfocused
    -0.58
    antha
    -0.57
    usalem
    -0.56
    sem
    -0.55
     WARN
    -0.55
     pseudonym
    -0.54
    ©¶æ
    -0.54
    nob
    -0.54
    POSITIVE LOGITS
    !:
    0.96
    mbuds
    0.79
    ?:
    0.70
     meanwhile
    0.68
    ':
    0.61
    cellaneous
    0.61
     aspect
    0.59
     itself
    0.58
     Lastly
    0.57
    BIP
    0.56
    Activations Density 1.330%

    No Known Activations