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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3377
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    Explanations

    phrases related to placing someone or something in various situations or positions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "put in" and its variations related to placements and positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.68
    ZA
    -0.68
    gets
    -0.67
    scl
    -0.66
    iasm
    -0.65
    Accessory
    -0.63
     TDs
    -0.62
    eds
    -0.61
    quel
    -0.60
     Admission
    -0.59
    POSITIVE LOGITS
     jeopardy
    0.85
    ription
    0.73
     ILCS
    0.71
    sole
    0.70
     peril
    0.67
    atro
    0.65
    iris
    0.65
     skim
    0.65
    intern
    0.65
    pload
    0.62
    Activations Density 0.114%

    No Known Activations