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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. 7-RES-JB
    11. 18960
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    INDEX
    Explanations

    financial figures and company names, likely related to business or investment information

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific entertainment-related organization names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ewitness
    -0.72
     reconc
    -0.71
    udicrous
    -0.68
    roxy
    -0.65
    omething
    -0.63
     commute
    -0.62
     assumption
    -0.61
    Reviewer
    -0.60
    akeru
    -0.59
    etheless
    -0.58
    POSITIVE LOGITS
     TBA
    0.81
     Jr
    0.81
     ???
    0.76
     âĵĺ
    0.75
    Jr
    0.71
     Remastered
    0.68
     ----------------
    0.68
    FML
    0.65
     ??
    0.65
     1965
    0.61
    Activations Density 0.208%

    No Known Activations