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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. 9-RES-JB
    11. 6022
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    INDEX
    Explanations

    different kinds of phrases indicating comparison, such as "better understanding" or "good view"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to gaining a better understanding or insight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hett
    -0.72
    ongs
    -0.71
    andals
    -0.69
    NESS
    -0.68
     offend
    -0.68
    tm
    -0.66
     Programs
    -0.66
     disadvant
    -0.64
    aband
    -0.64
    die
    -0.63
    POSITIVE LOGITS
     insight
    1.44
     glimpse
    1.43
     overview
    1.42
     rundown
    1.27
     explanation
    1.22
     indication
    1.19
     clarification
    1.17
     details
    1.14
     outline
    1.14
     detailed
    1.14
    Activations Density 0.324%

    No Known Activations