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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. 9936
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    INDEX
    Explanations

    desirable outcomes or strong judgments

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express hope, expectation, or significant outcomes

    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
    lvl
    -0.65
     Friendship
    -0.58
     Complex
    -0.55
    obal
    -0.53
     ACE
    -0.52
     CAS
    -0.51
     TY
    -0.50
     Saturn
    -0.49
    ories
    -0.49
     KING
    -0.48
    POSITIVE LOGITS
    .[
    0.85
    .(
    0.83
    .—
    0.82
    ,—
    0.80
    ,.
    0.78
    .
    0.76
    .$
    0.74
    !,
    0.74
    !.
    0.71
    !
    0.70
    Activations Density 0.914%

    No Known Activations