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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. 3-RES-JB
    11. 5511
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    Explanations

    terms related to obtaining or acquiring something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "obtain" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    timer
    -0.71
     Wells
    -0.68
    hov
    -0.66
    cas
    -0.65
    asking
    -0.65
    psc
    -0.63
     joking
    -0.63
    soType
    -0.63
    heartedly
    -0.61
    minus
    -0.58
    POSITIVE LOGITS
    itures
    0.80
    andom
    0.78
     access
    0.77
    tains
    0.76
     obtain
    0.75
    bable
    0.73
    rero
    0.72
    ãĥ³ãĤ¸
    0.71
    ances
    0.71
    ably
    0.71
    Activations Density 0.017%

    No Known Activations