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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. 14681
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    INDEX
    Explanations

    phrases related to actions and decisions undertaken by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of conditional actions or behaviors

    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
     Amos
    -0.65
     Jaw
    -0.64
     Alz
    -0.63
     Literally
    -0.62
     Stamp
    -0.61
     Veh
    -0.60
     Bou
    -0.60
     Emblem
    -0.59
     Ans
    -0.58
     Typhoon
    -0.58
    POSITIVE LOGITS
     latter
    0.90
    NULL
    0.78
     succeeds
    0.75
    ward
    0.71
    odes
    0.71
     completes
    0.68
     succeed
    0.65
    rity
    0.65
    eger
    0.65
     ensuing
    0.65
    Activations Density 0.707%

    No Known Activations